• 제목/요약/키워드: 컨설팅 산업

검색결과 308건 처리시간 0.024초

국내 증권형 크라우드펀딩의 달성률에 관한 영향요인 연구 : 일반 투자자 수의 조절효과를 중심으로 (A Study on the Influence Factor on the Achievement Rate of Domestic Equity-based Crowdfunding : Focusing on the Moderation Effect of the Number of General Investors)

  • 신연동;이승희
    • 산업융합연구
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    • 제15권2호
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    • pp.45-56
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    • 2017
  • 본 연구의 목적은 국내 증권형 크라우드펀딩의 달성률에 영향을 주는 투자자 수의 영향력을 분석하여, 일반 투자자의 참여가 필요한 이유에 대해 알아보고 일반 투자자의 참여를 높이는 방안을 제시함에 목적이 있다. 이를 위해 증권형 크라우드펀딩에서 실제 진행된 190개의 진행결과를 분석하였고, 국내 증권형 크라우드펀딩의 달성률에 영향을 주는 요인으로는 선행연구와 같이 모집금액, 목표금액, 모집기간과 사업연수의 영향력을 확인할 수 있었으며, 달성률에 대한 영향요인이 일반 투자자의 수가 증가함에 따라 더욱 더 큰 영향을 줄 수 있음을 확인하였다. 따라서, 정부에서는 일반 투자자에 대한 규제를 보다 더 완화하는 노력을 기울여야 하며 자금수요자는 일반 투자자의 자금 회수를 위하여 KSM시장을 통한 기업공개에 대한 노력을 강화하고 공시해야만 일반 투자자의 참여를 이끌어 낼 수 있으며 크라우드 펀딩을 통하여 원할한 자금 확보를 이끌어 낼 수 있을 것이다.

반도체 생산라인에서 SA를 이용한 최적 WIP수준과 버퍼사이즈 결정 (Determining Optimal WIP Level and Buffer Size Using Simulated Annealing in Semiconductor Production Line)

  • 정재환;장세인;이종환
    • 반도체디스플레이기술학회지
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    • 제20권3호
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    • pp.57-64
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    • 2021
  • The domestic semiconductor industry can produce various products that will satisfy customer needs by diversifying assembly parts and increasing compatibility between them. It is necessary to improve the production line as a method to reduce the work-in-process inventory (WIP) in the assembly line, the idle time of the worker, and the idle time of the process. The improvement of the production line is to balance the capabilities of each process as a whole, and to determine the timing of product input or the order of the work process so that the time required between each process is balanced. The purpose of this study is to find the optimal WIP and buffer size through SA (Simulated Annealing) that minimizes lead time while matching the number of two parts in a parallel assembly line with bottleneck process. The WIP level and buffer size obtained by the SA algorithm were applied to the CONWIP and DBR systems, which are the existing production systems, and the simulation was performed by applying them to the new hybrid production system. Here, the Hybrid method is a combination of CONWIP and DBR methods, and it is a production system created by setting new rules. As a result of the Simulation, the result values were derived based on three criteria: lead time, production volume, and work-in-process inventory. Finally, the effect of the hybrid production method was verified through comparative analysis of the result values.

REC 개정과 의무공급량이 국내 태양광 설비량에 미치는 영향 분석 (Analysis of the Effect on Domestic PV Capacity under the REC Revision and Mandatory Supply)

  • 백훈;김태성
    • 한국융합학회논문지
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    • 제12권6호
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    • pp.139-150
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    • 2021
  • 현재 국내 신재생에너지 보급 정책은 RPS(Renewable Portfolio Standard; 공급의무화제도)이다. 대용량 발전사업자는 신재생 의무공급량을 직접 생산하거나 REC(Renewable Energy Certificates; 공급인증서) 구매를 통해서 확보한다. 정부는 신재생 에너지원의 경제적, 사회적 가치를 평가하여 각 에너지원에 가중치를 매기는 REC 가중치를 여러 차례 개정했으며 의무공급 비율도 점차 증가하도록 개정했다. 본 연구는 정부의 정책이 관련 산업에 미치는 영향을 확인하는 데 도움이 된다. 태양광발전에 관한 REC 가중치 개정과 신재생 의무공급량이 태양광 설비량에 미치는 영향을 분석하기 위해 태양광 설비량을 종속변수로 시계열 분석과 의무공급량에 대한 회귀분석을 수행하였다. 결과적으로 REC 가중치 개정과 의무공급량 증가는 태양광 설비량 증가에 유의미한 영향을 미친다는 것을 확인하였다.

작업장혁신의 고용효과 (Employment Effects of Workplace Innovation)

  • 노용진
    • 산업노동연구
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    • 제23권2호
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    • pp.141-167
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    • 2017
  • 본 연구는 작업장혁신 프로그램들의 고용효과에 관한 실증분석이다. 본 연구의 이론 모형과 가설은 혁신 일반의 고용효과에 관한 기존의 연구결과들을 발전시켜서 개발하였다. 사용 자료는 노사발전재단의 "일터혁신지수" 2013-14년 자료이다. 사용 자료는 횡단면 자료이고 통계모형은 OLS 모형이다. 본 회귀모형의 종속변수는 고용증가율이고 주된 독립변수는 작업장혁신 지수이다. 작업장혁신 지수는 TQM/6시그마, 제안제도, 다기능훈련 등을 합성하여 작성하였는데, 그 관행들의 도입 여부와 활용 정도(표준화값) 등 2 가지로 된 측정치들로 구성하였다. 분석 결과 작업장혁신 프로그램들의 도입 여부는 고용증가율에 통계적으로 유의한 영향을 미치지 못하고, 작업장혁신 프로그램들의 활용 정도는 고용증가율에 약하게 통계적으로 유의한 양(+)의 영향을 미치고 있었다. 이상의 분석 결과들은 작업장혁신의 도입이 고용에 통계적으로 유의한 영향을 미치지 못하고 있음을 말해주고 있는데, 그것의 활용도를 높일 경우에는 약한 수준에서나 고용에 긍정적인 영향을 미칠 가능성이 있음을 시사하고 있다. 그 밖에 정부 지원의 조직혁신 컨설팅을 받은 사업체(+), 임금수준(-), 1인당 훈련시간(+), 전년도 근로자수(-) 등이 고용증가율에 통계적으로 유의한 영향을 미치고 있다. 마지막으로 본 연구의 실증결과들을 요약하고, 연구의 한계와 향후 연구의 방향을 논의하였다.

모바일 디바이스의 원인불명고장에 관한 비용 추정 (Mobile Device NDF(No Defect Found) Cost Estimation)

  • 이제왕;이정우;한창희
    • 산업경영시스템학회지
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    • 제44권2호
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    • pp.102-114
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    • 2021
  • NDF (No Defect Found) is a phenomenon in which defects have been found in the manufacturing, operation and use of a product or facility, but phenomenon of defects is not reproduced in the subsequent investigation system or the cause of the defects cannot be identified. Recently, with the development of the fourth industrial revolution, convergence of hardware and software technologies in various fields is spreading to products such as aircraft, home appliances, and mobile devices, and the number of parts is increasing due to functional convergence. The application of such convergence technologies and the increase in the number of parts are major factors that lead to an increase in NDF phenomena. NDF phenomena have a significant negative impact on cost, reliability, and reliability for both manufacturers, service providers and operators. On the other hand, due to the nature of NDF phenomena such as difficult and intermittent cause identification and ambiguity in judgment, it is common to underestimate the cost of NDF or fail to take appropriate countermeasures in corporate management. Therefore, in this paper, we propose a methodology for estimating NDF costs by the PAF model which is a quality cost analysis model and ABC (Activity Based Costing) technique. The methodology of this study suggests a detailed procedure and the concept to accurately estimate the NDF costs, using ABC analysis, accounting system information, and IT system data. In addition case studies have validated the methodology. We think this could be a valid methodology to refer to when estimating the cost of other parts. And, it is meaningful to provide important judgment information in the decision-making process based on quality management and ultimately reduce NDF costs by visualizing them separately by major variable factors.

데이터 마이닝 기법을 활용한 Mobile Device NDF(No Defect Found) 개선 (The Improvement of NDF(No Defect Found) on Mobile Device Using Datamining)

  • 이제왕;한창희
    • 산업경영시스템학회지
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    • 제44권1호
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    • pp.60-70
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    • 2021
  • Recently, with the development of technologies for the fourth industrial revolution, convergence and complex technology are being applied to aircraft, electronic home appliances and mobile devices, and the number of parts used is increasing. Increasing the number of parts and the application of convergence technologies such as HW (hardware) and SW (software) are increasing the No Defect Found (NDF) phenomenon in which the defect is not reproduced or the cause of the defect cannot be identified in the subsequent investigation systems after the discovery of the defect in the product. The NDF phenomenon is a major problem when dealing with complex technical systems, and its consequences may be manifested in decreased safety and dependability and increased life cycle costs. Until now, NDF-related prior studies have been mainly focused on the NDF cost estimation, the cause and impact analysis of NDF in qualitative terms. And there have been no specific methodologies or examples of a working-level perspective to reduce NDF. The purpose of this study is to present a practical methodology for reducing NDF phenomena through data mining methods using quantitative data accumulated in the enterprise. In this study, we performed a cluster analysis using market defects and design-related variables of mobile devices. And then, by analyzing the characteristics of groups with high NDF ratios, we presented improvement directions in terms of design and after service policies. This is significant in solving NDF problems from a practical perspective in the company.

창조혁신형 디자인인력양성을 위한 산학협력 교육사례 연구 -대구·경북지역의 코리아디자인멤버십(KDM)을 중심으로- (A case study of industry-university cooperation education for fostering creative innovative design manpower -Focusing on Korea Design Membership (KDM) in Daegu and Gyeongbuk-)

  • 김건우;김선아
    • 디지털융복합연구
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    • 제18권12호
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    • pp.59-68
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    • 2020
  • 본 연구는 시대의 흐름에 따라 기업이 요구하는 창조혁신형 미래 디자인 인력양성의 방향성을 제시하고자 한다. 디자인인력의 역량변화에 대응하는 창조혁신형 디자인 인력양성을 위한 정책사례연구를 통해 디자인 인력 정책의 변화, 산·학·관의 사례를 살펴보고자 한다. 창조혁신형 디자인고급인력양성 사업의 대표적인 사례인 산학프로젝트 사례분석을 통하여, 이 과정에 실제 기업이 참여하여 사업화가 가능한 제품개발 과정을 경험하도록 하는 새로운 교육모델이 필요하다는 것을 발견하였다. 본 연구는 디자인산업에 필요한 창조혁신형 인력을 양성하기 위한 프로그램개발 관련 정책 수립의 기초자료로 활용이 가능할 것으로 기대한다.

제조업사업장 외국인근로자 안전관리 실태와 개선방안연구 (Health and Safety Management Issues of Migrant Workers in Manufacturing Industries and Workplace Enhancement)

  • 라지타 가우설야;아밀라 위라싱헤;김상훈;임형덕
    • 한국산업융합학회 논문집
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    • 제25권2_2호
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    • pp.257-262
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    • 2022
  • With the shortage of labor force in small and medium-size industries, the Korean Employment Permit System (EPS) continues to bring migrant workers. However, the question remains of the health and safety management of their migrant workers. Considering that a significant part of safety and health problems are caused by migrant workers due to a lack of information on identifying risk and inexperience in the field. Telephone interviews were conducted to investigate the migrant workers' perspectives on workplace safety practices. The survey focused on workers' accident histories, understanding of safety practices, and responding to industrial accidents. A total of 66 accidents occurred among 30 participants. 10 accidents were not reported to the employer (company), which the foreign workers judged to be minor injuries that should not be reported as accidents. 80.0% of the participants expressed dissatisfaction with the PPE they were using. Among various reasons lack of understanding due to language barriers, lack of awareness of the importance of safety, communication difficulties were major reasons for the caused accidents and potential health issues. It is necessary to improve the safety and health support system by providing practical support through specialized educational institutes with experts in the field. A legal framework and a proper safety management system need to be maintained. This study suggests changing the current policy to improve the health and safety of migrant workers by, establishing specialized educational institutes with locally grown foreign experts in the field.

산업별 O2O 결합 서비스의 비즈니스 투자 및 운영에 관한 연구 (A Study on the Business Investment and Operation of O2O (Online-To-Offline) Combined Services by Industry)

  • 정병호;주형근
    • 디지털산업정보학회논문지
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    • 제18권2호
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    • pp.93-110
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    • 2022
  • The purpose of this study is to explore business investment and operation of O2O (Online-To-Offline) combined service. The study will analyze the necessary factors for growing the business by dividing the O2O service by industry. The Online-to-Offline is a method of inducing purchases of products and services by connecting between online and offline This research methodology organized the four stages of the analysis process. The analysis of all stages was performed with association rules in big data techniques. It is divided into the start-up period, growth period, maturity period, and decline period, and analysis is conducted on the business investment, expenditure cost, business operation, and conflict factors. As the research result, the first analysis has shown commonality with government subsidies, bank loans, and personal funds in all industries. The second analysis showed a lot of expenditure on labor costs of internal employees, marketing/sales, facility facilities, equipment, and equipment purchase costs. The third analysis showed difficulty in raising the investment resources necessary for business operations in all industries. The last analysis showed conflicts in the industry, businesses license, legal systems, and small business owners in all industries. This study contributed to the abundance and diversity of research methodologies in management information systems using association rules. In addition, the description of organizational development theory was updated while explaining the business investment and operation of O2O combined services. In practical implication, the O2O services include environmental factors that cause convergence between industries. Accordingly, this is required for new O2O services through new laws and systems and reorganization of existing laws and regulations.

데이터 불균형을 고려한 설명 가능한 인공지능 기반 기업부도예측 방법론 연구 (A Methodology for Bankruptcy Prediction in Imbalanced Datasets using eXplainable AI)

  • 허선우;백동현
    • 산업경영시스템학회지
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    • 제45권2호
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    • pp.65-76
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    • 2022
  • Recently, not only traditional statistical techniques but also machine learning algorithms have been used to make more accurate bankruptcy predictions. But the insolvency rate of companies dealing with financial institutions is very low, resulting in a data imbalance problem. In particular, since data imbalance negatively affects the performance of artificial intelligence models, it is necessary to first perform the data imbalance process. In additional, as artificial intelligence algorithms are advanced for precise decision-making, regulatory pressure related to securing transparency of Artificial Intelligence models is gradually increasing, such as mandating the installation of explanation functions for Artificial Intelligence models. Therefore, this study aims to present guidelines for eXplainable Artificial Intelligence-based corporate bankruptcy prediction methodology applying SMOTE techniques and LIME algorithms to solve a data imbalance problem and model transparency problem in predicting corporate bankruptcy. The implications of this study are as follows. First, it was confirmed that SMOTE can effectively solve the data imbalance issue, a problem that can be easily overlooked in predicting corporate bankruptcy. Second, through the LIME algorithm, the basis for predicting bankruptcy of the machine learning model was visualized, and derive improvement priorities of financial variables that increase the possibility of bankruptcy of companies. Third, the scope of application of the algorithm in future research was expanded by confirming the possibility of using SMOTE and LIME through case application.